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We cannot guarantee that training datasets are representative of the distribution of inputs that will be encountered during deployment.
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Biggan Deep 512 |
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ImageNet-Trained CNNs Are Biased towards Texture; Increasing Shape Bias Improves Accuracy and Robustness
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Adversarial Examples Are Not Bugs, They Are Features
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Can You Trust Your Model’s Uncertainty? Evaluating Predictive Uncertainty under Dataset Shift
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EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Tan, M.; and Le, Q. V. 2019 · 2019
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A Fourier Perspective on Model Robustness in Computer Vision
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Zoom In: An Introduction to Circuits
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Wong, E.; Rice, L.; and Kolter, J. Z. 2020 · 2020
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